When we’re talking about grounding, we mean fact-checking the hallucinations of planet destroying robots and tech bros.
If you want a non-stupid opening line, when models accept they don’t know something, they ground results in an attempt to fact check themselves.
Happy now?
TL;DR
- LLMs don’t search or store sources or individual URLs; they generate answers from pre-supplied content.
- RAG anchors LLMs in specific knowledge backed by factual, authoritative, and current data. It reduces hallucinations.
- Retraining a foundation model or fine-tuning…
